* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
Download Stat 104 – Homework 2 Due Tuesday September 11, 2007
Survey
Document related concepts
Transcript
Stat 104 – Homework 2 Due Tuesday September 11, 2007 Reading: August 28 – September 6 September 11 – September 20 Chapter 2 Chapter 3 Assignment: 1. Complete the following problems from the text: 2.12, 2.23, 2.44, 2.56, 2.70, 2.82, 2.94, 2.110 and 2.122. 2. Problem 2.44 has data on the hemoglobin A1C blood test given to 40 different diabetic patients. A1C values are percentages and are directly proportional to the concentration of glucose in the blood over the full life span of the red blood cells and are not subject to the fluctuations that are seen with daily blood glucose monitoring. An A1C value of 7% is considered the target value for diabetes that is in control. Enter the data from problem 2.44 into a single column, labeled A1C, in a JMP data table. Use Analyze – Distribution to produce graphical and numerical summaries. These summaries should include: a properly oriented and labeled histogram, an outlier box plot, stem-and-leaf display, five number summary values, sample mean and sample standard deviation. Turn in your JMP output with this homework and use it to answer the following questions. a) Describe the shape of the histogram produced by JMP. b) How does the histogram produced by JMP differ from the one you constructed in part c of 2.44? Be sure to comment on differences in the shape. c) Report the values for a five number summary. Be sure to include appropriate units. d) Report the values of the sample mean and sample standard deviation. Again, include appropriate units. e) Does JMP use a split stem when producing the stem-and-leaf display? f) The American Diabetes Association suggests action be taken when A1C values get too high. How many individuals have an A1C value of 7.5% and above? Extra Credit: Get JMP to produce the histogram with classes specified in problem 2.44. Turn in the JMP output with this histogram.